Triple

T28135074
Position Surface form Disambiguated ID Type / Status
Subject Dr. Christian Szell E714176 entity
Predicate medium P166 FINISHED
Object cinema LITERAL FINISHED

Named-entity recognition

Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's LITERAL type shown above.

Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: cinema | Statement: [Dr. Christian Szell, medium, cinema]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69efd6af156c81908f50c2cd7db0e1ef elicitation completed
NER batch_69f6412eece8819083585f8d75aff17d ner completed
Created at: April 27, 2026, 9:49 p.m.